Publications

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Evolutionary gait-optimization using a fitness function based on proprioception, . Rofer, T , ser. LNCS, D. Nardi, M. Riedmiller, C. Sammut and J. Santos-Victor, Volume 3276, (2004)
A
Experimental Analysis of Dynamic Covariance Scaling for Robust Map Optimization Under Bad Initial Estimates, Agarwal, Pratik, Grisetti Giorgio, Tipaldi Gian Diego, Spinello Luciano, Burgard Wolfram, and Stachniss Cyrill , Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), (2014)
Enhancing graph representation of the environment through local and cloud computation, Argenziano, Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2023)
B
An Environment for Visual Dataflow Programming for Image Processing, Baldassari, D., Grisetti G., and Iocchi L. , (2002)
An Environment for Visual Dataflow Programming for Image Processing, Baldassari, D., Grisetti G., and Iocchi L. , (2002)
Effective and Robust Natural Language Understanding for Human-Robot Interaction, Bastianelli, Emanuele, Castellucci Giuseppe, Croce Danilo, Basili Roberto, and Nardi Daniele , Proceedings of 21st European Conference on Artificial Intelligence, p.57–62, (2014)
Effectiveness of the trivalent MF59 adjuvated influenza vaccine in preventing hospitalization due to influenza B and A(H1N1)pdm09 viruses in the elderly in Italy, 2017–2018 season, Bella, A., Gesualdo F., Orsi A., Arcuri C., Chironna M., Loconsole D., Napoli C., Orsi G. B., Manini I., Montomoli E., et al. , EXPERT REVIEW OF VACCINES, Volume {18}, Number {6}, p.1-9, (2019)
Experiments with the RoboCup Rescue Simulator in a Post Earthquake Emergency Italian Scenario, Biagetti, A., Farinelli A., Iocchi L., Nardi D., and Patrizi F. , Proceedings of IEEE International Workshop on Safety, Security and Rescue Robots (SSRR), May, Bonn, Germany, (2004)
Enhancing Automatic Maritime Surveillance Systems With Visual Information, Bloisi, Domenico D., Previtali Fabio, Pennisi Andrea, Nardi Daniele, and Fiorini Michele , IEEE Transactions on Intelligent Transportation Systems, Volume 18, Number 4, p.824-833, (2017)
Enhancing automatic maritime surveillance systems with visual information, Bloisi, Domenico Daniele, Previtali Fabio, Pennisi Andrea, Nardi Daniele, and Fiorini Michele , IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Volume {18}, Number {4}, p.824-833, (2017)
Efficient Traversability Analysis for Mobile Robots using the Kinect Sensor, Bogoslavskyi, I., Vysotska O., Serafin J., Grisetti G., and Stachniss C. , ECMR, Barcelona, Spain, (2013)
Efficient Traversability Analysis for Mobile Robots using the Kinect Sensor, Bogoslavskyi, I., Vysotska O., Serafin J., Grisetti G., and Stachniss C. , ECMR, Barcelona, Spain, (2013)
Efficient Traversability Analysis for Mobile Robots using the Kinect Sensor, Bogoslavskyi, I., Vysotska O., Serafin J., Grisetti G., and Stachniss C. , Barcelona, Spain, (2013)
Efficient Traversability Analysis for Mobile Robots using the Kinect Sensor, Bogoslavskyi, I., Vysotska O., Serafin J., Grisetti G., and Stachniss C. , Barcelona, Spain, (2013)
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection, Brigato, L., Sartea R., Simonazzi S., Farinelli A., Iocchi L., and Napoli C. , Volume {12855}, Number {False}, p.137-148, (2021)
Estimation of aerothermal heating for a thermal protection system with temperature dependent material properties, Brociek, R., Hetmaniok E., Napoli C., Capizzi G., and Slota D. , INTERNATIONAL JOURNAL OF THERMAL SCIENCES, Volume {188}, Number {False}, p.False-False, (2023)
C
An entropy evaluation algorithm to improve transmission efficiency of compressed data in pervasive healthcare mobile sensor networks, Capizzi, G., Coco S., Sciuto G. L., Napoli C., and Holubowski W. , IEEE ACCESS, Volume {8}, Number {False}, p.4668-4678, (2020)
An entropy evaluation algorithm to improve transmission efficiency of compressed data in pervasive healthcare mobile sensor networks, Capizzi, G., Coco S., Sciuto G. L., Napoli C., and Holubowski W. , IEEE ACCESS, Volume {8}, Number {False}, p.4668-4678, (2020)
An entropy evaluation algorithm to improve transmission efficiency of compressed data in pervasive healthcare mobile sensor networks, Capizzi, G., Coco S., Sciuto G. L., Napoli C., and Holubowski W. , IEEE ACCESS, Volume {8}, Number {False}, p.4668-4678, (2020)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
Explicit Representation of Social Norms for Social Robots, Carlucci, Fabio M., Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , (2015)
Explicit representation of social norms for social robots, Carlucci, Fabio Maria, Nardi Lorenzo, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.4191-4196, (2015)
An extended policy gradient algorithm for robot task learning, Cherubini, A., Giannone F., Iocchi L., and Palamara P. F. , IROS, p.4121–4126, (2007)
An extended policy gradient algorithm for robot task learning, Cherubini, A., Giannone F., Iocchi L., and Palamara P. F. , p.4121–4126, (2007)
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping, Cipollone, R., De Giacomo G., Favorito M., Iocchi L., and Patrizi F. , Volume {37}, Number {False}, p.7227-7234, (2023)
Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation, Costante, Gabriele, Mancini Michele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {1}, Number {1}, p.18-25, (2016)
D
Experimental Evaluation of Teamwork in Many-Robot Systems, D'Agostini, A., Calisi D., Leo A., Fedi F., Iocchi L., and Nardi Daniele , Proceedings of AAMAS 2011 (Demo), (2011)
Experimental Evaluation of Teamwork in Many-Robot Systems, D'Agostini, A., Calisi D., Leo A., Fedi F., Iocchi L., and Nardi D. , Proceedings of AAMAS 2011 (Demo), (2011)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
F
Enhancing city transportation services using cloud support, Fornaia, A, Napoli C, Tramontana E A., and Pappalardo G , Volume {639}, Number {False}, p.695-708, (2016)
Emotional machines: The next revolution, Franzoni, V., Milani A., Nardi D., and Vallverdu J. , WEB INTELLIGENCE, Volume {17}, Number {1}, p.1-7, (2019)
I
Eye-Tracking System with Low-End Hardware: Development and Evaluation, Iacobelli, E., Ponzi V., Russo S., and Napoli C. , INFORMATION, Volume {14}, Number {12}, p.False-False, (2023)
An Effective Multi-Cue Positioning System for Agricultural Robotics, Imperoli, Marco, Potena Ciro, Nardi Daniele, Grisetti Giorgio, and Pretto Alberto , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {4}, p.3685-3692, (2018)
Editorial to the 'pattern recognition and artificial intelligence for human behaviour analysis' special section, Iocchi, L., Prati Andrea, and Vezzani Roberto , Expert Systems, Volume 30, Number 2, p.99-100, (2013)
K
Empowering Collaboration: A Pipeline for Human-Robot Spoken Interaction in Collaborative Scenarios, Kaszuba, Sara, Caposiena Julien, Sabbella Sandeep Reddy, Leotta Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.95-107, (2023)
L
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), (2020)
Efficient Long-term Mapping in Dynamic Environments, Lázaro, M. T., Capobianco R., and Grisetti G. , Volume {False}, Number {False}, p.153-160, (2018)

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